Prediction of Significant Wave Height along Konyaaltı Coast

Yıl 2017, Cilt: 9 Sayı: 4, 106 - 114, 27.12.2017

Rifat Tur Dilayda Soylu Pekpostalci Özen Arlı Küçükosmanoğlu Alp Küçükosmanoğlu

https://doi.org/10.24107/ijeas.368922

Cited By: 3

Öz

Glass fiber reinforced concrete (GFRC) is a cementitious composite
reinforced by the addition of alkali-resistant glass fibers. GFRC is widely
used for various types of precast products in civil engineering industries.
GRFC mixes generally include silica sand to produce precast concrete elements;
however, silica sand was replaced with barite sand at the ratios of 5%, 10 %
and 15 % of wt. in order to reveal its applicability and potential for
different engineering purposes. The flexural strength and the freeze-thaw(F&T)
resistance of the composites were studied. The experimental results showed that
the replacement of silica sand with barite sand up to 15 % of wt. enhances the
mechanical properties of the composites in respect to flexural strength and
F&T resistance properties.

Anahtar Kelimeler

Wave hindcasting, Significant wave height, SMB, Wilson, CEM, WAM

Kaynakça

• Berbic, J., Ocvirk, E., Carevic, D., Loncar, G., Application of neural networks and support vector machine for significant wave height prediction. Oceanologia, 59(3), 331-349, 2017.
• Cornejo-Bueno, L., Borge, J.C.N., Alexandre, E., Hessner, K., Salcedo-Sanz, S., Accurate estimation of significant wave height with Support Vector Regression algorithms and marine radar images. Coastal Engineering, 114, 233-243, 2016.
• Cornejo-Bueno, L., Nieto-Borge, J.C., Garcia-Diaz, P., Rodriguez, G., Salcedo-Sanz, S., Significant wave height and energy flux prediction for marine energy applications: A grouping genetic algorithm - Extreme Learning Machine approach. Renewable Energy, 97, 380-389, 2016.
• Orimolade, A.P., Haver, S., Gudmestad, O.T., Estimation of extreme significant wave heights and the associated uncertainties: A case study using NORA10 hindcast data for the Barents Sea. Marine Structures, 49, 1-17, 2016.
• Shukla, R.P., Kinter, J.L., Subseasonal Prediction of Significant Wave Heights over the Western Pacific and Indian Ocean Region. Weather and Forecasting, 31(6), 1733-1751, 2016.
• Tür, R., Belirgin Dalga Yüksekliğinin (Significant Wave Height=Hs) Bulanık Sinir Ağları (ANFIS) ile Tahmini. The Journal of Graduate School of Natural and Applied Sciences of Mehmet Akif Ersoy University 7(2), 175-183, 2016.
• Yu, T.T., Xie, W.S., Zhang, S.O., Improved algorithm for estimation of significant wave height from X-band radar image sequences. Journal of Applied Remote Sensing, 10, 2016.
• Zhang, S., Song, Z.J., Lie, Y., An advanced inversion algorithm for significant wave height estimation based on random field. Ocean Engineering, 127, 298-304, 2016.
• Altunkaynak, A., Prediction of significant wave height using spatial function. Ocean Engineering, 106, 220-226, 2015.
• Duan, W.Y., Han, Y., Huang, L.M., Zhao, B.B., Wang, M.H., A hybrid EMD-SVR model for the short-term prediction of significant wave height. Ocean Engineering, 124, 54-73, 2016.
• Elbisy, M.S., Sea Wave Parameters Prediction by Support Vector Machine Using a Genetic Algorithm. Journal of Coastal Research, 314, 892-899, 2015.
• Hashim, R., Roy, C., Motamedi, S., Shamshirband, S., Petković, D., Selection of climatic parameters affecting wave height prediction using an enhanced Takagi-Sugeno-based fuzzy methodology. Renewable and Sustainable Energy Reviews, 60, 246-257, 2016.
• Mahjoobi, J., Etemad-Shahidi, A., An alternative approach for the prediction of significant wave heights based on classification and regression trees. Applied Ocean Research, 30(3), 172-177, 2008.
• Rusu, E., Raileanu, A., A multi-parameter data-assimilation approach for wave prediction in coastal areas. Journal of Operational Oceanography, 9(1), 13-25, 2016.
• Wang, Y.-g., Prediction of height and period joint distributions for stochastic ocean waves. China Ocean Engineering, 31(3), 291-298, 2017.
• Etemad-Shahidi, A., Kzeminezhad, M.H., Mousavi, S.J. On The Prediction of Wave Parameters Using Simplified Methods.Journal of Coastal Research, Portugal, 2009.
• Akpınar, A., Özger, M., Kömürcü, M.İ., Prediction of wave parameters by using fuzzy inference system and the parametric models along the south coasts of the Black Sea. Journal of Marine Science and Technology, 19(1), 1-14, 2014.
• Akpinar, A., Özger, M., Bekiroglu, S., Komurcu, M.I., Performance Evaluation of Parametric Models in The Hindcasting of Wave Parameters Along The South Coast of Black Sea. Indian Journa og Geo-MArine Sciences, 43(6), 905-920, 2014.
• Dubey, R.P., Das, B., Long Term Ocean Wave Forecasting Along Indian Coast Journal of Indian Water Resources Society, 33(2), 24-29, 2013.
• Balas, L., Numanoğlu Genç, A., İnan, A., Liman yapılarının tasarımı için dalga tahmini. Dokuz Eylül Üniversitesi Denizcilik Fakültesi Dergisi, 5(2), 2013.
• Yüksel, Y., Özkan Çevik, E., Kıyı Mühendisliği, 1 ed, Deniz Mühendisliği Serisi - No12009, İstanbul; Beta basım yayım,2009.
• Shore Protectin Manual (SPM)1984, U. S. Army Corps of Engineers, Washington, DC: U.S. Army Engineer Waterways Experiment Station, U.S.; U. S. Government Printing Office,1984.
• Coastal Engineering Manual. U. S. Army Corps of Engineers, U.S., 2006.
• Janssen, P., The Wave Model. Meteorological Training Course Lecture Series, 2003.
• The WAMDI Group, The WAM Model - A third Generation Ocean Wave Prediction Model. Journal of Physical Oceanography, 18, 1775-1810, 1988.
• Özhan, E., Abdalla S., Türkiye kıyıları rüzgar ve derin deniz dalga atlası, MEDCOAST, METU, 445,2002.